
Grokking (machine learning) - Wikipedia
In ML research, "grokking" is not used as a synonym for "generalization"; rather, it names a sometimes-observed delayed‑generalization training phenomenon in which training and …
Grokking Explained: A Statistical Phenomenon - arXiv.org
Feb 3, 2025 · Grokking, or delayed generalization, is an intriguing learning phenomenon where test set loss decreases sharply only after a model’s training set loss has converged. This …
GROKKING Definition & Meaning - Merriam-Webster
Dec 7, 2016 · Grok may be the only English word that derives from Martian. Yes, we do mean the language of the planet Mars. No, we're not getting spacey; we've just ventured into the realm …
What is Grokking? From Rote to Revelation, overfitting represents …
May 15, 2025 · Grokking forces us to reconsider established practices in training neural networks. It challenges the validity of early stopping criteria and suggests that a model appearing to …
Grokking: A Deep Dive into Delayed Generalization in Neural
Jun 14, 2024 · One of the most intriguing is the phenomenon of grokking, where neural networks exhibit surprisingly delayed generalization, achieving high performance on unseen data long …
Grokking - GitHub Pages
Grokking, or delayed generalization, is a phenomenon where generalization in a deep neural network (DNN) occurs long after achieving near zero training error. Previous studies have …
Grokking in Machine Learning: A Deep Dive - Simple Science
Jun 29, 2025 · In recent years, machine learning, especially deep learning, has made remarkable progress. A fascinating occurrence in this field is known as " Grokking." This term describes a …
Carlisia Campos - Grokking
Nov 26, 2025 · Grokking implies experiential, embodied learning, something beyond surface-level exposure. It hints of an orientation towards fluid intuition, rather than rigid knowing or …
Do Machine Learning Models Memorize or Generalize?
When Does Grokking Happen? It’s important to note that grokking is a contingent phenomenon — it goes away if model size, weight decay, data size and other hyper parameters aren’t just …
Understanding Grokking In Artificial Intelligence
Apr 11, 2025 · Grokking describes when an AI system appears to suddenly "get it" after a lengthy period of seemingly minimal progress. Initially, the AI memorizes training examples without …